Title: | Image-based detail reconstruction of non-Lambertian surfaces |
Authors: | Lin, I-Chen Chang, Wen-Hsing Lo, Yung-Sheng Peng, Jen-Yu Lin, Chan-Yu 資訊工程學系 Department of Computer Science |
Keywords: | image-based 3D modeling;shape-from-shading;non-Lambertian reflection;motion capture;facial animation |
Issue Date: | 1-Jan-2010 |
Abstract: | This paper presents a novel optimization framework for estimating the static or dynamic surfaces with details. The proposed method uses dense depths from a structured-light system or sparse ones from motion capture as the initial positions, and exploits non-Lambertian reflectance models to approximate surface reflectance. Multi-stage shape-from-shading (SFS) is then applied to optimize both shape geometry and reflectance properties. Because this method uses non-Lambertian properties, it can compensate for triangulation reconstruction errors caused by view-dependent reflections. This approach can also estimate detailed undulations on text-tireless regions, and employs spatial-temporal constraints for reliably tracking time-varying surfaces. Experiment results demonstrate that accurate and detailed 3D surfaces can be reconstructed from images acquired by off-the-shelf devices. Copyright (C) 2010 John Wiley & Sons, Ltd. |
URI: | http://dx.doi.org/10.1002/cav.332 http://hdl.handle.net/11536/6292 |
ISSN: | 1546-4261 |
DOI: | 10.1002/cav.332 |
Journal: | COMPUTER ANIMATION AND VIRTUAL WORLDS |
Volume: | 21 |
Issue: | 1 |
Begin Page: | 55 |
End Page: | 68 |
Appears in Collections: | Articles |
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